Derailment Coefficient Estimation for Railway Bogies
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Solution Overview
Problem
Conventional methods fail to estimate the derailment coefficient for normal bogies lacking wheel load and lateral force measurement capabilities on normal curved sections without installed measurement equipment, due to high costs and maintenance efforts associated with widespread installation of measurement equipment.
Innovation Solution
A method involving multivariate analysis to generate estimation equations for derailment coefficient estimation, using measured wheel load and lateral force data from monitoring bogies with measurement capabilities, and applying correction coefficients to estimate the derailment coefficient for normal bogies on normal curved sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement equipment is installed on all curved sections to measure wheel load and lateral force, then measurement capability is improved, but cost and maintenance effort increase dramatically
Solution Approach 1:
The patent creates a virtual copy of the measurement system through estimation equations. Instead of physically installing measurement equipment on every curved section, the system uses multivariate analysis to generate estimation equations that replicate measurement capabilities using data from monitoring bogies and reference curved sections. This allows normal bogies to estimate derailment coefficients without physical measurement equipment being present.
Solution Approach 2:
The patent introduces estimation equations as an intermediary between the measurement equipment and the normal bogie. The estimation equations serve as a mediator that translates data from monitoring bogies and reference sections into usable derailment coefficient estimates for normal bogies on normal curved sections, eliminating the need for direct measurement equipment installation on every section.
2Adaptability or versatility
If all bogies are equipped as PQ monitoring bogies to measure wheel load and lateral force, then measurement coverage is improved, but cost and maintenance effort increase dramatically
Solution Approach 1:
The patent enables normal bogies to function as if they were PQ monitoring bogies by using estimation equations that replicate the measurement capability. Instead of modifying all bogies to include measurement equipment, the system creates a computational copy that allows normal bogies to estimate their own derailment coefficients using data from monitoring bogies and reference curved sections.
Solution Approach 2:
The estimation equations provide universal applicability across different bogie types and curved sections. Once generated, the equations can be applied to any normal bogie on any normal curved section, making the system universally applicable without requiring individual customization or equipment modification for each specific case.
3Measurement precision
If ground side measurement equipment is installed on reference curved sections, then measurement accuracy is improved, but the method cannot measure normal curved sections without equipment
Solution Approach 1:
The patent uses data from reference curved sections with measurement equipment to create estimation equations that copy the measurement capability to normal curved sections without equipment. The multivariate analysis transfers the measurement information from the reference sections to normal sections, allowing the same measurement accuracy to be achieved without physical equipment being present on the normal curved sections.
Data Source
Figure 1
Figure 2
Figure 3A~3B
AI summary
The estimation method according to the present invention generates a first estimation equation to estimate an outside derailment coefficient Q/Pi of a monitoring bogie 3 in a reference curved section 1, generates a second estimation equation to estimate an outside derailment coefficient Q/P2 of a normal bogie 4 on the reference curved section, generates a third estimation equation to estimate an outside derailment coefficient Q/P3 of the monitoring bogie on the normal curved section 2, generates correction coefficients for the explanatory variables in the second estimation equation based on the coefficients of the explanatory variables in the first estimation equation, the coefficients of the explanatory variables in the third estimation equation, and the like, generates a fourth estimation equation to estimate an outside derailment coefficient Q/P4 of the normal bogie on the normal curved section by taking account of the correction coefficients in the coefficients of the explanatory variables in the second estimation equation, measures wheel load and lateral force of the normal bogie with the measurement equipment 11 on the reference curved section, and then estimates the outside derailment coefficient Q/P4 by inputting the fourth estimation with computed values computed from these as explanatory variables. A method capable of estimating an outside derailment coefficient of a normal bogie on a normal curved section is accordingly provided.